Machine learning-based model deployment method and system, server and storage medium

A machine learning and deployment system technology, applied in the field of model deployment, can solve the problem of single supporting model framework

Pending Publication Date: 2021-05-11
BEIJING XUEZHITU NETWORK TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] The embodiment of the present application provides a model deployment method, system, computer equipment and storage

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  • Machine learning-based model deployment method and system, server and storage medium
  • Machine learning-based model deployment method and system, server and storage medium
  • Machine learning-based model deployment method and system, server and storage medium

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Embodiment Construction

[0038] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be described and illustrated below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application. Based on the embodiments provided in the present application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.

[0039] Obviously, the accompanying drawings in the following description are only some examples or embodiments of the present application, and those skilled in the art can also apply the present application to other similar scenarios. In addition, it can also be understood that although such development efforts may be complex and lengthy, for those of ...

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Abstract

The invention relates to the technical field of model deployment, in particular to a machine learning-based model deployment method and system, a server and a storage medium. The method comprises the following steps: a model training step: performing model training through machine learning to obtain a model; a calling step: calling a model deployment system by the model; a model framework selection step: based on the model, selecting a model framework deployed on a model deployment system or performing deployment through a user-defined model framework; a deployment parameter configuration step: receiving the selected model framework and performing deployment parameter configuration in combination with the model according to the selected model framework; a model deployment step: deploying the model to a physical machine or k8s based on the model framework; and reponse to concurrent serivce request step: calling the model based on the model framework after deployment parameter configuration. Through the method and the device, the problem of single support framework in the prior art is solved, and unified deployment of models developed according to different machine learning frameworks is realized.

Description

technical field [0001] The present application relates to the technical field of model deployment, in particular to a model deployment method, system, server and storage medium based on machine learning. Background technique [0002] With the widespread application of machine learning, more and more models are developed by enterprises based on their own business scenarios, and more and more machine learning frameworks are used. How to efficiently deploy models to the production environment has become particularly important. [0003] In the existing technology, there are different model deployment tools according to different machine learning frameworks. These tools can be used to deploy models according to deployment requirements, but there are the following problems: the deployment script needs to be implemented by itself, the deployment steps are cumbersome, and the supported deployment method is single. The model framework is single and does not support secondary developm...

Claims

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Application Information

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IPC IPC(8): G06F9/50G06N20/00
CPCG06F9/505G06F9/5083G06N20/00
Inventor 金建兵
Owner BEIJING XUEZHITU NETWORK TECH
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